Scale up of reactors for carbon dioxide reduction

Andrew Nattestad, Klaudia Wagner, Gordon G. Wallace

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Front. Chem. Sci. Eng. ›› 2023, Vol. 17 ›› Issue (1) : 116-122. DOI: 10.1007/s11705-022-2178-7
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Scale up of reactors for carbon dioxide reduction

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Abstract

In recent times there has been a great deal of interest in the conversion of carbon dioxide into more useful chemical compounds. On the other hand, the translation of these developments in electrochemical reduction of carbon dioxide from the laboratory bench to practical scale remains an underexplored topic. Here we examine some of the major challenges, demonstrating some promising strategies towards such scale-up, including increased electrode area and stacking of electrode pairs in different configurations. We observed that increasing the electrode area from 1 to 10 cm2 led to only a 4% drop in current density, with similarly small penalties realised when stacking sub-cells together.

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Keywords

CO2 reduction / electrochemical cell / electrosynthesis / upscaling

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Andrew Nattestad, Klaudia Wagner, Gordon G. Wallace. Scale up of reactors for carbon dioxide reduction. Front. Chem. Sci. Eng., 2023, 17(1): 116‒122 https://doi.org/10.1007/s11705-022-2178-7

References

[1]
Gong J, English N J, Pant D, Patzke G R, Protti S, Zhang T. Power-to-X: lighting the path to a net-zero-emission future. ACS Sustainable Chemistry & Engineering, 2021, 9( 21): 7179– 7181
CrossRef Google scholar
[2]
Zhang W, Mohamed A R, Ong W J. Z-scheme photocatalytic systems for carbon dioxide reduction: where are we now?. Angewandte Chemie International Edition, 2020, 59( 51): 22894– 22915
CrossRef Google scholar
[3]
Prabhu P, Jose V, Lee J M. Heterostructured catalysts for electrocatalytic and photocatalytic carbon dioxide reduction. Advanced Functional Materials, 2020, 30( 24): 1910768
CrossRef Google scholar
[4]
Wang J, Huang X, Xi S, Lee J M, Wang C, Du Y, Wang X. Linkage effect in the heterogenization of cobalt complexes by doped graphene for electrocatalytic CO2 reduction. Angewandte Chemie International Edition, 2019, 58( 38): 13532– 13539
CrossRef Google scholar
[5]
Huang Z, Grim R G, Schaidle J A, Tao L. The economic outlook for converting CO2 and electrons to molecules. Energy & Environmental Science, 2021, 14( 7): 3664– 3678
CrossRef Google scholar
[6]
Tufa R A, Chanda D, Ma M, Aili D, Demissie T B, Vaes J, Li Q, Liu S, Pant D. Towards highly efficient electrochemical CO2 reduction: cell designs, membranes and electrocatalysts. Applied Energy, 2020, 277 : 115557
CrossRef Google scholar
[7]
Smith W A, Burdyny T, Vermaas D A, Geerlings H. Pathways to industrial-scale fuel out of thin air from CO2 electrolysis. Joule, 2019, 3( 8): 1822– 1834
CrossRef Google scholar
[8]
Nguyen D L T, Do H H, Nguyen M T, Vo D V N, Nguyen V H, Nguyen C C, Kim S Y, Le Q V. Electrochemical conversion of carbon dioxide over silver-based catalysts: recent progress in cathode structure and interface engineering. Chemical Engineering Science, 2021, 234 : 116403
CrossRef Google scholar
[9]
Gao F Y, Bao R C, Gao M R, Yu S H. Electrochemical CO2-to-CO conversion: electrocatalysts, electrolytes, and electrolyzers. Journal of Materials Chemistry A, 2020, 8( 31): 15458– 15478
CrossRef Google scholar
[10]
Park S, Wijaya D T, Na J, Lee C W. Towards the large-scale electrochemical reduction of carbon dioxide. Catalysts, 2021, 11( 2): 253
CrossRef Google scholar
[11]
Jeanty P, Scherer C, Magori E, Wiesner-Fleischer K, Hinrichsen O, Fleischer M. Upscaling and continuous operation of electrochemical CO2 to CO conversion in aqueous solutions on silver gas diffusion electrodes. Journal of CO2 Utilization , 2018, 24 : 454– 462
[12]
Kim K, Lee W H, Na J, Hwang Y, Oh H S, Lee U. Data-driven pilot optimization for electrochemical CO mass production. Journal of Materials Chemistry A, 2020, 8( 33): 16943– 16950
CrossRef Google scholar
[13]
Sun D, Xu X, Qin Y, Jiang S P, Shao Z. Rational design of Ag-based catalysts for the electrochemical CO2 reduction to CO: a review. ChemSusChem, 2020, 13( 1): 39– 58
CrossRef Google scholar
[14]
Kas R, Yang K, Bohra D, Kortlever R, Burdyny T, Smith W A. Electrochemical CO2 reduction on nanostructured metal electrodes: fact or defect?. Chemical Science (Cambridge), 2020, 11( 7): 1738– 1749
CrossRef Google scholar
[15]
Burdyny T, Smith W A. CO2 reduction on gas-diffusion electrodes and why catalytic performance must be assessed at commercially-relevant conditions. Energy & Environmental Science, 2019, 12( 5): 1442– 1453
CrossRef Google scholar
[16]
Higgins D, Hahn C, Xiang C, Jaramillo T F, Weber A Z. Gas-diffusion electrodes for carbon dioxide reduction: a new paradigm. ACS Energy Letters, 2019, 4( 1): 317– 324
CrossRef Google scholar
[17]
Dodds W S, Stutzman L F, Sollami B J. Carbon dioxide solubility in water. Chemical & Engineering Data Series, 1956, 1( 1): 92– 95
CrossRef Google scholar
[18]
Endrodi B, Kecsenovity E, Samu A, Darvas F, Jones R V, Torok V, Danyi A, Janaky C. Multilayer electrolyzer stack converts carbon dioxide to gas products at high pressure with high efficiency. ACS Energy Letters, 2019, 4( 7): 1770– 1777
CrossRef Google scholar
[19]
Dufek E J, Lister T E, McIlwain M E. Bench-scale electrochemical system for generation of CO and syn-gas. Journal of Applied Electrochemistry, 2011, 41( 6): 623– 631
CrossRef Google scholar
[20]
Kreysa G, Kuelps H J. Experimental study of the gas bubble effects on the IR drop at inclined electrodes. Journal of the Electrochemical Society, 1981, 128( 5): 979– 984
CrossRef Google scholar

Acknowledgements

Funding from the Australian Research Council Centre of Excellence Scheme (Project Number CE 140100012) is gratefully acknowledged. The authors would like to thank Benjamin Filippi from Translational Research Initiative for Cell Engineering and Printing (TRICEP) for technical support, and the Australian National Nanofabrication Facility-Materials node for equipment use.

Electronic Supplementary Material

Supplementary material is available in the online version of this article at https://dx.doi.org/10.1007/s11705-022-2178-7 and is accessible for authorized users.

Funding Note

Open Access funding enabled and organized by CAUL and its Member Institutions.

Open Access

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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2022 The Author(s). This article is published with open access at link.springer.com and journal.hep.com.cn
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